JICDA: Journal of Informatics, Computer Science, Data Science And Artificial Intelligence https://publication.arstech.co.id/index.php/JICDA <p><strong>JICDA: Journal of Informatics, Computer Science, Data Science And Artificial Intelligence</strong>: Is a Scientific Journal in the fields of Informatics Engineering, Computer Science, Data Science and also Artificial Intelligence. Journal of Informatics, Computer Science, Data Science and Artificial Intelligence or abbreviated as <strong>JICDA</strong> is published twice a year (6 months), namely in <strong>December </strong>and <strong>June</strong>. <strong>JICDA:</strong> <strong>Journal of Informatics, Computer Science, Data Science And Artificial Intelligence</strong> aims to publish research in the fields of computer science, Informatics Engineering, Data Science, and Artificial Intelligence which focus on publishing quality scientific papers about the latest information about developments in computer science. Articles submitted will be reviewed by the Reviewer Team (the Journal and Association technical committee). All articles submitted must be original reports, research results that have never been published before. Articles submitted to the Journal of Informatics, Computer Science, Data Science and Artificial Intelligence may not be published elsewhere before a decision has been made by the editor. Articles must follow the writing style provided and must go through a Peer-review process by applying the <strong>Double Blind Review concept.</strong></p> <p><strong>JICDA : Journal of Informatics, Computer Science, Data Science, and Artificial Intelligence </strong>consists of several special topics in the field of Informatics, Computer Science, Data Science, and Artificial Intelligence, including Algorithms and Programming, Cryptography and Security System, Steganograpy, Digital Image Processing, Networking, High-Performance Computing, Compter Vision, Pattern Recognition, Geographics Information System, Software Engineering, Internet and E-Commerce, Data Mining, Big Data, Machine Learning, Deep Learning, Data Science, Data Analysis, Artificial Intelligence, Soft Computing, Metaheuristic Optimization, Fuzzy Logic, Artificial Neural Network, Decision Support System, Robotics, and Information System.</p> <p><strong>JICDA : Journal of Informatics, Computer Science, Data Science, and Artificial Intelligence </strong>published by<strong> Arka Sains Tech (Arstech), </strong>Medan, Indonesia. <strong>E-ISSN : 3031-9145.</strong></p> Arstech en-US JICDA: Journal of Informatics, Computer Science, Data Science And Artificial Intelligence 3031-9145 CLASSIFICATION OF HEART DISEASE RISK WITH MULTILAYER PERCEPTRON: A MACHINE LEARNING APPROACH https://publication.arstech.co.id/index.php/JICDA/article/view/52 <p>This research explores the integration of Principal Component Analysis (PCA) with Support Vector Machine (SVM) classification to identify the key factors influencing customer satisfaction using questionnaire data. Leveraging SVM's effectiveness in questionnaire-based classification and PCA's feature reduction capabilities, the study examines the impact of PCA on model performance. From a dataset comprising responses from 100 participants regarding product quality, price, and service level, PCA was employed to reduce the questionnaire features to three components. Results revealed Product Quality as the most significant factor affecting Customer Satisfaction, while Service Level exhibited the lowest influence. Comparative analysis of SVM models with and without PCA integration demonstrated improved performance metrics, including reduced error rates and enhanced accuracy. PCA mitigated overfitting risks, enhancing model generalization and interpretability. The findings underscore the practical significance of PCA in optimizing SVM classification models for customer satisfaction analysis. Future research may focus on optimal component selection and the robustness of PCA-SVM models across diverse domains, advancing machine learning applications in real-world scenarios.</p> <p><strong>Keyword : </strong>Classification, Customer satisfaction analysis, Feature reduction, Principal Component Analysis, Support Vector Machine</p> Arief Rahman Hakim Irwan Daniel Novendra Adisaputra Sinaga Copyright (c) 2024 Arief Rahman Hakim, Irwan Daniel, Novendra Adisaputra Sinaga https://creativecommons.org/licenses/by-nc/4.0 2024-12-30 2024-12-30 2 1 IMPLEMENTATION OF THE SELECTION SORT ALGORITHM IN THE APPLICATION OF WEB-BASED NETWORK INSTALLATION ORDERING AND REPAIR SERVICE OFFERINGS AT PT ARYA PERSADA UTAMA https://publication.arstech.co.id/index.php/JICDA/article/view/49 <p><em>Along with the rapid advancement of internet technology and the ease of access to the use of this technology today, it raises the idea of its utilization in helping project managers who in this case represent the owner (owner) in order to supervise and control the projects under their auspices.</em></p> <p><em>(owner) in order to be able to supervise and control the projects under his auspices. In terms of working time, project managers have limitations, especially for supervising and controlling because the projects they handle are often more than 1 (one), whose activity times run simultaneously. So that the existing information system can be stored and easily accessed at any time by the project owner (owner), a web server is needed that can accommodate the data and information that has been done. Information in the existing database is not only intended for the project owner (owner) but can also be accessed by other parties who have a certain interest in the project. The availability of an integrated project performance report system and project work status information, can facilitate and speed up the reporting process to the project owner (owner). Development of the latest project management information system using the web-based Selection Sort Algorithm Method which is one of the methods in project management that is widely used, especially for companies engaged in software development. This application can provide real-time data or information through the Dashboard page provided by the manager. All activity history both problems and solutions during project implementation are recorded in this application through the reports provided, so that it can be a reference for planning and implementing similar projects later.</em></p> <p><em><strong>Keyword :</strong> Application Implementation, Service Offers, </em><em>Selection Sort Algorithm, Web</em></p> Damara Al Zura Khairuddin Nasution Heri Santoso Copyright (c) 2025 Damara Al Zura, Khairuddin Nasution, Heri Santoso https://creativecommons.org/licenses/by-nc/4.0 2025-01-30 2025-01-30 2 1 The Application for Recognition The Cultural Of The Mandailing Tribe In North Sumatra Using Adobe Flash https://publication.arstech.co.id/index.php/JICDA/article/view/53 <p>Indonesia is a country with diverse ethnicties and culture. Along with the development of the times, information technology is also growing and people’s lifestyle are increasingly modern. In connection with the development of people’s lifestyle, in fact ethnicity and culture are starting to fade away. Even the interest of the younger generation to get the tribes and cultures that exits is starting to wane. Therefore , there is a need for action to increase the interest of the younger generation to get to know the diversity of ethnicities and cultures in Indonesia by utilizing information. The purpose of this research is to build and introduction to the culture of the Mandailing tribe using adobe flash. The information collections technique that the author use by making questionnaire. For the analytical method, the author use the multimedia development life cycle method, namely drafting, designing, gathering materials, manufacturing, testing, and distribution. The design of this use adobe flash. The final result of this research is an application system for cultural recognition of the Mandailing tribe using adobe flash.</p> <p><strong>Keyword : </strong>Application, Culture, Mandailing Tribe, Adobe Flash, Multimedia Development Life Cycle</p> Ira Wardani Hasibuan Herlina Harahap Munjiat Setiani Asih Copyright (c) 2024 Ira Wardani Hasibuan, Herlina Harahap, Munjiat Setiani Asih https://creativecommons.org/licenses/by-nc/4.0 2024-12-28 2024-12-28 2 1 COMPUTER-BASED LEARNING MEDIA IN ANIMAL RECOGNITION WITH KOREAN LANGUAGE FOR CHILDREN USING UNITY 3D https://publication.arstech.co.id/index.php/JICDA/article/view/51 <p>The rapid advancement of information technology has significantly transformed the field of education, enabling faster and more effective knowledge delivery. One crucial aspect of early childhood education is language acquisition, including foreign languages such as Korean. Inspired by the growing popularity of the Korean Wave (Hallyu), this study aims to develop an interactive computer-based learning media using Unity 3D to teach children about animal names in Korean.</p> <p>The research follows a System Development Life Cycle (SDLC) methodology, encompassing planning, analysis, design, implementation, and maintenance. Data collection techniques include literature studies, observations, and questionnaires to assess the effectiveness of the developed learning media. The system is designed to engage children through animations, quizzes, and interactive storytelling, making the learning process more engaging and enjoyable.</p> <p>The implementation consists of animated scenes displaying animal names from A to Z, accompanied by their Korean translations. Two types of evaluation quizzes are included to reinforce learning: identification-based quizzes and fill-in-the-missing-letter quizzes. The final media output is processed using Wondershare Filmora, enhancing the quality of animations and sound integration.</p> <p>The results indicate that using interactive 3D learning media significantly improves children’s engagement and retention in learning Korean animal names. By combining education with entertainment, this study provides an innovative and effective approach to foreign language acquisition in early childhood.<br><br><strong>Keywords:</strong> Learning Media, Unity 3D, Korean Language, Animal Recognition, Interactive Education</p> Rizki Anindya Daulay Khairunnisa Siti Sundari Copyright (c) 2024 Rizki Anindya Daulay, Khairunnisa, Siti Sundari https://creativecommons.org/licenses/by-nc/4.0 2024-12-15 2024-12-15 2 1